一种新型MEMS移相器设计

建立Ka波段分布式MEMS移相器的等效电路,设计基于此模型的分布式MEMS移相器,并对其反射损耗与插入损耗进行优化。仿真结果表明,该模型在4GHz工作带宽内反射损耗小于-15dB,在10GHz带宽内插入损耗大于-2dB,单桥相移达到35°。     

同时地形高程测量和地面运动目标检测的分布式InSAR最优编队构形

分布式小卫星干涉SAR为了同时获得时间基线(用于地面运动目标检测)和空间基线(用于地形高程测量),采取空间立体编队构形(即非沿航向直线编队),然而这种混合基线的情况会导致地面运动目标与地形杂波存在相位耦合,而且只靠信号处理方法很难分离,这对于检测地面运动目标极为不利。提出几种最优编队构形,在保证获得两种干涉基线的同时,通过对消两对干涉SAR图像来抑制掉固定杂波,从而可以检测地面运动目标,这种方法具有处理简单和性能较好等优点。最后给出了仿真结果。     

计算机生成航空兵力的模型设计与实现

以航空兵力为研究对象，着重研究空中计算机生成兵力（ＣＧＦ）的模型设计及实现技术。并对构造航空兵ＣＧＦ系统的意义进行了分析，叙述了含有虚拟（ＶＲ）技术失工交互仿真实验系统的系统结构和分系统组成成分。同时还分析了ＣＧＦ系统中智能数字飞机的模型特点，重点介绍了动力学建模方法以及编队模型匠建立及编队飞行能力的实现方法，构造出来的计算机生成航空兵力在实验系统中性能良好，满足总体要求。     

股份合作制下的委托代理分析

指出股份合作制的一个重要特征是委托人内化，即企业员工互为委托人及代理人．通过一个简单的企业模型，将股份合作制的这一特征纳入委托代理理论的分析框架，研究表明，在股份合作制下，尽管股权结构对员工积极性的发挥有重要的影响，但它并不能很好地解决员工“搭便车”（ｆｒｅｅｒｉｄｅｒ）问题，而一些在一般企业里行之有效的激励措施，在股份合作制企业里却可能失效     

Global GPS reference frame solutions of unlimited size

This paper reports on the Dancer project, which is one of three related projects initiated by working group 1 of the International Association of Geodesy. The Dancer project develops JAVA parameter estimation software that runs in the form of a distributed process on the internet, in such a way that each processing node handles the data of a single geodetic instrument. By exchanging a minimum amount of information among all processing nodes, the same global normal equation solution is found by all instruments. The result is a fully scalable least squares solution that has no practical limit to the number of GPS receivers or other tracking devices that may be included in a single reference frame realization.     

浅析继续教育在区域经济发展中的作用

本文研究了继续教育对区域经济发展的重要意义。首先分析了继续教育在经济发展中的必要性,指出了继续教育在校企合作中遇到的问题,进而针对上述问题提出了完善校企合作的建议,并结合北华航天工业学院的继续教学院的人才培养实践,提出了有针对性的有效校企合作机制。     

Multi-UAV coordination control by chaotic grey wolf optimization based distributed MPC with event-triggered strategy

The paper proposes a new swarm intelligence-based distributed Model Predictive Control (MPC) approach for coordination control of multiple Unmanned Aerial Vehicles (UAVs). First, a distributed MPC framework is designed and each member only shares the information with neighbors. The Chaotic Grey Wolf Optimization (CGWO) method is developed on the basis of chaotic initialization and chaotic search to solve the local Finite Horizon Optimal Control Problem (FHOCP). Then, the distributed cost function is designed and integrated into each FHOCP to achieve multi-UAV formation control and trajectory tracking with no-fly zone constraint. Further, an event-triggered strategy is proposed to reduce the computational burden for the distributed MPC approach, which considers the predicted state errors and the convergence of cost function. Simulation results show that the CGWO-based distributed MPC approach is more computationally efficient to achieve multi-UAV coordination control than traditional method.     

Spacecraft formation-containment flying control with time-varying translational velocity

This paper investigates the problem of Spacecraft Formation-Containment Flying Control (SFCFC) when the desired translational velocity is time-varying. In SFCFC problem, there are multiple leader spacecraft and multiple follower spacecraft and SFCFC can be divided into leader spacecraft’s formation control and follower spacecraft’s containment control. First, under the condition that only a part of leader spacecraft can have access to the desired time-varying translational velocity, a velocity estimator is designed for each leader spacecraft. Secondly, based on the estimated translational velocity, a distributed formation control algorithm is designed for leader spacecraft to achieve the desired formation and move with the desired translational velocity simultaneously. Then, to ensure all follower spacecraft converge to the convex hull formed by the leader spacecraft, a distributed containment control algorithm is designed for follower spacecraft. Moreover, to reduce the dependence of the designed control algorithms on the graph information and increase system robustness, the control gains are changing adaptively and the parametric uncertainties are handled, respectively. Finally, simulation results are provided to illustrate the effectiveness of the theoretical results.     

Virtual target guidance-based distributed model predictive control for formation control of multiple UAVs

The paper proposes a Virtual Target Guidance (VTG)-based distributed Model Predictive Control (MPC) scheme for formation control of multiple Unmanned Aerial Vehicles (UAVs). First, a framework of distributed MPC scheme is designed in which each UAV only shares the information with its neighbors, and the obtained local Finite-Horizon Optimal Control Problem (FHOCP) can be solved by swarm intelligent optimization algorithm. Then, a VTG approach is developed and integrated into the distributed MPC scheme to achieve trajectory tracking and obstacle avoidance. Further, an event-triggered mechanism is proposed to reduce the computational burden for UAV formation control, which takes into consideration the predictive state errors as well as the convergence of cost function. Numerical simulations show that the proposed VTG-based distributed MPC scheme is more computationally efficient to achieve formation control of multiple UAVs in comparison with the traditional distributed MPC method.     

Time and phase synchronization using clutter observations in airborne distributed coherent aperture radars

Airborne Distributed Coherent Aperture Radar(ADCAR) is one of the most promising next-generation radars to significantly improve target detection and discrimination abilities. However, time and phase synchronization among unit radars should be done before an ADCAR is intended to cohere on a potential target. To address this problem, a time and phase synchronization technique using clutter observations is proposed in this paper. Clutter returns from different azimuths and elevations on the surfac...